Journal article
Feature extraction by identification of a parameterized system model
IEEE transactions on automatic control, v 26(2), pp 577-580
Apr 1981
Abstract
This paper focuses on extracting features from time series for pattern recognition. System identification techniques are used to represent the signals by a parameterized system model (PSM) with the parameter vector describing the PSM becoming the feature vector. A deconvolution procedure is used to enhance pattern class discrimination. The advantages of the PSM approach is a reduction of the dimensionality of the feature space thereby simplifying the classifier design and evaluation. The PSM feature extraction technique is applied to a flaw characterization problem arising from ultrasonic nondestructive testing of materials.
Metrics
16 Record Views
1 citations in Scopus
Details
- Title
- Feature extraction by identification of a parameterized system model
- Creators
- J Fehlauer - Bell LabsB Eisenstein
- Publication Details
- IEEE transactions on automatic control, v 26(2), pp 577-580
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1981LN53600064
- Scopus ID
- 2-s2.0-0019558334
- Other Identifier
- 991019174558404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic